A multi-hospital, clinician-initiated bacterial genomics programme to investigate treatment failure in severe Staphylococcus aureus infections

Bacterial genomics is increasingly used for infectious diseases surveillance, outbreak detection and prediction of antibiotic resistance. With expanding availability of rapid whole-genome sequencing, bacterial genomics data could become a valuable tool for clinicians managing bacterial infections, driving precision medicine strategies. Here, we present a clinician-driven bacterial genomics framework that applies within-patient evolutionary analysis to identify in real-time microbial genetic changes that have an impact on treatment outcomes of severe Staphylococcus aureus infections, a strategy that is increasingly used in cancer genomics. Our approach uses a combination of bacterial genomics and antibiotic susceptibility testing to identify and track bacterial adaptive mutations that underlie microbiologically documented treatment failure (i.e. ongoing positive cultures [persistent infection] or new positive cultures after initial response [recurrent infection]). We show the potential added value of our approach to clinicians and propose a roadmap for the use of bacterial genomics to advance the management of severe bacterial infections.

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Publication Details

Journal
Nature Communications
Published
2025-05-26
DOI
https://doi.org/10.1038/s41467-025-60045-4
Citations
1
Primary Topic
Antimicrobial Resistance in Staphylococcus
Type
article
Field-Weighted Citation Impact
1.40

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article

A multi-hospital, clinician-initiated bacterial genomics programme to investigate treatment failure in severe Staphylococcus aureus infections

Benjamin P. Howden, Andrew A. Mahony, Carolyn Beckett, Katherine A. Bond et al.
1 citations
Nature Communications
Antimicrobial Resistance in Staphylococcus
1.40
article

A multi-hospital, clinician-initiated bacterial genomics programme to investigate treatment failure in severe Staphylococcus aureus infections

Benjamin P. Howden, Andrew A. Mahony, Carolyn Beckett, Katherine A. Bond, Norelle L. Sherry, Nomvuyo Mothobi, Stefano Giulieri, Kerrie Stevens, Natasha E. Holmes, Harry N. Walker, Roy Chean, Adam Jenney, Adrian W. Alexander, Diane Daniel, Marcel Leroi
article en
1 citations

Abstract

Bacterial genomics is increasingly used for infectious diseases surveillance, outbreak detection and prediction of antibiotic resistance. With expanding availability of rapid whole-genome sequencing, bacterial genomics data could become a valuable tool for clinicians managing bacterial infections, driving precision medicine strategies. Here, we present a clinician-driven bacterial genomics framework that applies within-patient evolutionary analysis to identify in real-time microbial genetic changes that have an impact on treatment outcomes of severe Staphylococcus aureus infections, a strategy that is increasingly used in cancer genomics. Our approach uses a combination of bacterial genomics and antibiotic susceptibility testing to identify and track bacterial adaptive mutations that underlie microbiologically documented treatment failure (i.e. ongoing positive cultures [persistent infection] or new positive cultures after initial response [recurrent infection]). We show the potential added value of our approach to clinicians and propose a roadmap for the use of bacterial genomics to advance the management of severe bacterial infections.

Nature CommunicationsVol. 16(1)
The Royal Melbourne Hospital (AU), Burnet Institute (AU), The University of Melbourne (AU), Geelong Hospital (AU), Epworth Hospital (AU), The Alfred Hospital (AU), Eastern Health (AU), Peter Doherty Institute (AU), Footscray Hospital (AU), Western Health (AU), Bendigo Health (AU), Austin Health (AU)
Hôpitaux Universitaires de Genève, Centre Hospitalier Universitaire Vaudois, Barwon Health Foundation, Medical Research Council, National Health and Medical Research Council
Good health and well-being
Openalex Percentile: Top 20%
Antimicrobial Resistance in Staphylococcus
1.40
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